Predicting the risk of postoperative gastrointestinal bleeding in patients with Type A aortic dissection based on an interpretable machine learning model by Lin Li, Xing Yang, Wei Guo, Wenxian Wu, Meixia Guo, Huanhuan Li, Xueyan Wang, Siyu Che

“…The SHapley Additive exPlanation (SHAP) algorithm was applied for interpretability analysis. …”
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Maximizing the scientific application of Pandora column observations of HCHO and NO₂ by P. Rawat, J. H. Crawford, K. R. Travis, L. M. Judd, M. A. G. Demetillo, L. C. Valin, J. J. Szykman, A. Whitehill, E. Baumann, T. F. Hanisco

“…These ground-based remote-sensing instruments are federated such that they employ a common algorithm and data protocol for reporting on trace gas column densities and lower-atmospheric profiles using two modes based on direct-sun and sky-scan observations. …”
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Glucagon-like peptide-1 receptor agonist use prior to spinal surgery results in reduced postoperative length of stay: A propensity-score matched analysis by Samuel N. Goldman, BS, Kyle Mani, BE, Thomas Scharfenberger, BS, Emily Kleinbart, BA, Aaron T. Hui, BS, Rafael De la Garza Ramos, MD, Mitchell S. Fourman, MD, MPhil, Ananth S. Eleswarapu, MD

“…Prior studies have reported mixed results across select spinal fusion procedures, and the impact of GLP-1 RAs on perioperative outcomes has not been well-defined. This study evaluates the association between preoperative GLP-1 RA use and key perioperative outcomes in spinal surgery. …”
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Comparing the Effect of Beractant (Beraksurf™) with That of Poractant Alfa (Curosurf®) on the Need for Intermittent Positive Pressure Ventilation in Neonatal Respiratory Distress S... by Yosra Khazani, Sirous Fathi Manesh, Elnaz Shaseb, Parvin Sarbakhsh

“…The effect of the treatments was evaluated regarding the need for IPPV by fitting semi-parametric logistic regression models, adjusted for the best subset of covariates selected by the forward variable selection algorithm and confounders identified by the expert panel. …”
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Signal Quality Index Estimator for Complex-Lead type ECG beat detectors by Hintermüller Christoph, Blessberger Hermann, Steinwender Clemens

“…In the past decades various algorithms to detect and delineate ECG beats have been developed. …”
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Optimal sleep time controller based on traffic prediction and residual energy in duty-cycled wireless sensor networks by Haibo Luo, Minghua He, Zhiqiang Ruan, Xiaxia Zeng

“…We evaluate our protocols with different parameters and compare them with existing works. …”
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A Survey on Integration of Empathy Cues Into Empathetic Text Generation by Edwin C. Montiel-Vazquez, Christian Arzate Cruz, Jorge Adolfo Ramirez Uresti, Miguel Gonzalez Mendoza, Randy Gomez

“…In recent years, affective computing has seen a surge in empathetic response generation algorithms. These incorporate different empathy-related concepts to increase their perceived behavioral empathy. …”
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Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson’s disease patients by Yandong lian, Yibin Xu, Linlin Hu, Yuguo Wei, Zhaoge Wang

“…Additionally, multi-factor logistic regression analysis identified clinical predictors associated with PD-RBD, and these clinical features were integrated with the radiomics signatures to develop predictive models using various machine learning algorithms. The model exhibiting the best performance was selected, and receiver operating characteristic (ROC) curves were used to evaluate its performance in both the training and testing sets. …”
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Multiomics integration analysis identifies tumor cell-derived MIF as a therapeutic target and potentiates anti-PD-1 therapy in osteosarcoma by Yan Liao, Hao Yao, Weidong Chen, Yutong Zou, Ji Fang, Jiongfeng Zhang, Zehao Guo, Jian Tu, Junkai Chen, Zijun Huo, Lili Wen, Xianbiao Xie

“…The single-sample gene set enrichment analysis, Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) algorithm, and xCell algorithms were used to evaluate the immune cell infiltration and activity. …”
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Effects of missing data imputation methods on univariate blood pressure time series data analysis and forecasting with ARIMA and LSTM by Nicholas Niako, Jesus D. Melgarejo, Gladys E. Maestre, Kristina P. Vatcheva

“…We evaluated the prediction performance of autoregressive integrated moving average (ARIMA) and long short-term memory (LSTM) network models on imputed time series data using ten different imputation techniques. …”
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Object-Specific Multiview Classification Through View-Compatible Feature Fusion by Javier Perez Soler, Jose-Luis Guardiola, Nicolás García Sastre, Pau Garrigues Carbó, Miguel Sanchis Hernández, Juan-Carlos Perez-Cortes

“…Through experimental evaluations, we demonstrate that the proposed VCFF method outperforms state-of-the-art MVC algorithms, especially in open-set scenarios, where the set of possible objects is not fully known in advance. …”
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Nephelometer Sensitivities for the Determination of PM2.5 Mass Concentration in Ambient and Indoor Air by Dimitra Karali, Glykeria Loupa, Spyridon Rapsomanikis

“…Abstract Simple algorithms are presented for the relationships between the gravimetrically measured PM2.5 mass concentration and a nephelometer particle scattering coefficient, for three different environments: two outdoor locations (an urban and a suburban) and one indoors. …”
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A Review of Neuro-ML Breakthroughs in Addressing Neurological Disorders by Cosmina-Mihaela Rosca, Adrian Stancu

“…Future directions include exploring rare diseases, investigating underutilized algorithms, and developing standardized protocols for evaluating the performance of ML models, which will facilitate the comparison of results across different studies.…”
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Automated Lightweight Model for Asthma Detection Using Respiratory and Cough Sound Signals by Shuting Xu, Ravinesh C. Deo, Oliver Faust, Prabal D. Barua, Jeffrey Soar, Rajendra Acharya

“…<b>Results:</b> The proposed ensemble approach, facilitated by a majority voting approach for model efficacy evaluation, achieved acceptable ACC values of 94.05% and 83.31% for differentiating between asthma and normal cases utilising separate respiratory sounds and cough sounds, respectively. …”
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Unveiling PANoptosis in Acute Kidney Injury: An Integrative Multi-Dimensional Approach to Identify Key Biomarkers by Wang N, Zhang L, Xu Z, Xu Q, Lu Y, Niu P, Yan L, Wang L, Cao H, Shao F

“…Several machine learning algorithms were employed to determine the optimal feature genes. …”
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Analysis on pulse features of coronary heart disease patients with or without a history of ischemic stroke by Li Xin, Li Wei, Ng Man-In, Parry Natalie Ann, Li Siqi, Li Rui, Guo Rui

“…Based on these extracted features, a recognition model was developed using a random forest (RF) algorithm. The classification performance of the models was evaluated using metrics, including accuracy, precision, recall, and F1-score derived from confusion matrix as well as the area under the receiver operating characteristics (ROC) curve (AUC). …”
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Direction of Arrival Estimation for Coherent Signals’ Method Based on LSTM Neural Network by Thanh Han-Trong, Nam Ngo Duc, Hung Tran Van, Hung Pham-Viet

“…The performance of the method is evaluated based on the root mean square error (RMSE) parameter and then is compared with 2 other algorithms, multiple signal classification (MUSIC) and deep neural network (DNN) in different cases such as deviation of incoming signals, variation of signal-to-noise ratio (SNR), and coherent incoming signals. …”
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SoK: Delegated Security in the Internet of Things by Emiliia Geloczi, Felix Klement, Patrick Struck, Stefan Katzenbeisser

“…Furthermore, a mathematical formalisation of the CIA triad (confidentiality, integrity, and availability) is proposed for the predefined application areas, in order to evaluate the different approaches.…”
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Simulation-Based E-Learning Framework for Entrepreneurship Education and Training by Constanţa-Nicoleta Bodea, Radu Ioan Mogoş, Maria-Iuliana Dascălu, Augustin Purnuş, Narcisa Georgeta Ciobotar

“…Using this e-learning framework, the students can learn how to choose relevant characteristics/aspects for a type of business and how important is each of them according specific criteria; how to set realistic values for different characteristics/aspects of the business, how a business scenario can be changed in order to fit better to the business context and how to assess/evaluate business scenarios.…”
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Trophic ulcers-Practical management guidelines by Vinita Puri, N Venkateshwaran, Nishant Khare

“…The management of patients with trophic ulcers and their consequences is difficult not only because it is a recurrent and recalcitrant problem but also because the pathogenesis of the ulcer maybe different in each case. Methodically and systematically evaluating and ruling out concomitant pathologies helps to address each patient′s specific needs and hence bring down devastating complications like amputation. …”
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